doi: 10.18178/ijiet.2017.7.1.832
An Empirical Research of Human Behavior Dynamics in Network Course Learning
Yan Cheng
,
Yan Zeng
Abstract
Learning is a kind of important human behavior to acquire knowledge. This paper discussed temporal characteristics of network course learning on behavior dynamics. Firstly, the students behavior data of the network course learning for 8-weeks are collected from online learning platform. Then, the work used the Maximum Likelihood Estimation(MLE) method for estimating the power exponent of learning behavior interval time distribution, and introduced Kolmogorov-Smirnov(KS) method to test power-law hypothesis .The empirical research results show that: both in the group and individual level, learning behavior time interval obey characteristics of power-law distribution. Underlying these, This thesis combined with the learning psychology, environment and other factors explained the statistical characteristics, and provided some suggestions for teaching management.
Keywords
- Empirical research
- behavior dynamics
- behavior interval time distribution
- power-law
How to Cite
Yan Cheng and Yan Zeng, "An Empirical Research of Human Behavior Dynamics in Network Course Learning," International Journal of Information and Education Technology, vol. 7, no. 1, pp. 6-10, 2017. https://doi.org/10.18178/ijiet.2017.7.1.832
Copyright & License
Copyright © 2017 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).